Project Role : Application Developer
Project Role Description : Design, build and configure applications to meet business process and application requirements.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Data Warehouse ETL Testing
Minimum 5 year(s) of experience is required
Educational Qualification : Full Time Education

Responsibilities: 1. Develop and maintain Databricks notebooks for data processing and analysis. 2. Design and implement scalable data pipelines using Databricks. 3. Optimize and tune Databricks jobs for performance and efficiency. 4. Develop and maintain ETL processes for extracting, transforming, and loading data from various sources to data warehouses. 5. Collaborate with business analysts and data scientists to understand data requirements and design effective ETL solutions. 6. Optimize and tune ETL processes for performance and scalability. 7. Ensure security, scalability, and reliability of infrastructure through Terraform best practices. 8. Design, implement, and maintain infrastructure using Terraform. 9. Troubleshoot and resolve issues related to infrastructure deployments. 10. Design and implement GraphQL APIs to support data queries and mutations. 11. Collaborate with front-end and back-end developers to integrate GraphQL into application architectures. 12. Optimize GraphQL queries for performance and efficiency. 13. Ensure the security and scalability of GraphQL APIs. 14. Collaborate with cross-functional teams to understand data requirements and provide technical solutions. 15. Troubleshoot and resolve issues related to data processing ,integration and transformation. Technical Skills: 1. Proficiency in Databricks for big data processing and analytics. 2. Strong programming skills in languages such as Python, Scala, or Experience as an ETL Developer with expertise in tools such as Apache NiFi, Apache Airflow, or similar. 3. Strong SQL skills for data manipulation and transformation. 4. Experience working with data warehouses and data modeling. 5. Familiarity with data quality and validation processes. 6. SQL. 7. Experience with data modeling, ETL processes, and data warehousing. 8. Familiarity with cloud platforms such as AWS, Azure, or GCP. 9. Proven experience with Terraform and infrastructure as code. 10. Familiarity with cloud platforms such as AWS, Azure, or GCP. 11. Strong scripting skills (e.g., Bash, Python) for automation tasks. 12. Understanding of networking, security, and best practices in infrastructure design. 13. Proven experience as a developer with a focus on GraphQL. 14. Strong understanding of GraphQL concepts and best practices. 15. Proficient in server-side languages such as Node.js, Python, or Java. 16. Experience with GraphQL client libraries and tools.